Research and optimization of task scheduling algorithm based on heterogeneous multi-core processor
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s10586-024-04606-0.pdf
Reference30 articles.
1. Han, Y., Liu, J., Hu, W., Gan, Y.: High-reliability and energy-saving dag scheduling in heterogeneous multi-core systems based on task replication. In: 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC). pp. 2012–2017. IEEE (2021). https://doi.org/10.1109/SMC52423.2021.9658608
2. Chen, J., Han, P., et al.: Scheduling energy consumption-constrained workflows in heterogeneous multi-processor embedded systems. J. Syst. Archit. 142, 1–1 (2023). https://doi.org/10.1016/j.sysarc.2023.102938
3. Abdi, A., Salimi-Badr, A.: Enf-s: An evolutionary-neuro-fuzzy multi-objective task scheduler for heterogeneous multi-core processors. IEEE Trans. Sustain. Comput. 8, 479–491 (2023). https://doi.org/10.1109/TSUSC.2023.3244081
4. Sanchit, Singh, N., Singh, J.: Multiobjective approach to schedule dag tasks on voltage frequency islands. IEEE Access (2023). https://doi.org/10.1109/ACCESS.2023.3266478
5. Yari-Karin, S., Siyadatzadeh, R., Ansari, M., Ejlali, A.: Passive primary/backup-based scheduling for simultaneous power and reliability management on heterogeneous embedded systems. IEEE Trans. Sustain. Comput. 8(1), 82–89 (2023). https://doi.org/10.1109/TSUSC.2022.3186656
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